Post-Graduate Program in Computer Engineering (PPG-EC)

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1 Post-Graduate Program in Computer Engineering (PPG-EC) Prof. Byron Leite Dantas Bezerra, Ph.D. Adjunct Professor POLI/UPE *** Coordinator Prof. Bruno José Torres Fernandes, Ph.D. Adjunct Professor POLI/UPE *** Deputy-Coordinator

2 Brief History of PPG-EC Pioneer in North, Northeast and Mid-West of Brazil First postgraduate Program in Computer Engineering Pioneer in University of Pernambuco (UPE) First postgraduate Program at Polytechnic School of Pernambuco (POLI) Additional information: First M.Sc. thesis viva May, 2008 Over 90 M.Sc. Thesis approved until July, M.Sc. Students currently enrolled Target: a joint PhD Program by 2014

3 PPG-EC General Information 17 Professors Main knowledge areas Computer Engineering Computer Science Information Systems Main research lines: Computational Intelligence Software Engineering

4 Main topics researched at PPG-EC Novel metaheuristics for solving real world problems Social Simulation & Stochastic Modeling Pattern recognition & Machine Learning Frameworks, Domain Specific Languages & Tools Requirements and Software Engineering

ABeePSO / VolitivePSO / ClanPSO -Robust classifiers for Pattern Recognition -Training Adaboost by Swarm Intelligence and Evolutionary Computation -Metrics for

5 Novel metaheuristics for solving real world problems -Novel naturally metaheuristics.fish School Search.Wolf Pack Approximation -Development of novel operators and communications schema for Swarm based Algorithms.ABeePSO / VolitivePSO / ClanPSO -Robust classifiers for Pattern Recognition -Training Adaboost by Swarm Intelligence and Evolutionary Computation -Metrics for assessing Swarm Algorithms.DFT over the Laplacian Matrix.Analysis of the Influence Matrix -Multi-modal, Multi-objective and Many-objective optimization.dfss /.MOPSO-CDR / MOPSO-CDRS / MOPSO-GDR / MOPSO-DFR -Swarm Intelligence for training classifiers applied for forecasting

Social Simulation & Stochastic Modeling Study and development of new computational approaches with multiples simultaneous evolu- tionary capabilities (symbolic or sub-symbolic); Cybernetic approach

6 Social Simulation & Stochastic Modeling Study and development of new computational approaches with multiples simultaneous evolu- tionary capabilities (symbolic or sub-symbolic); Cybernetic approach is used for taking advantage of distributed intelligence with several levels of retro- -feedback and nature (e.g. memetic and genetic); Examples of researches output: 1) return migration and trans-generational migration (collaboration with FUNDAJ, Brazil Federal Social Science Institute); 2) negative taxation models (collaboration with KIT Karlsruhe Institute of Technology, Germany); 3) multi-layer evolutionary logistic models (collaboration with University of Münster, Germany); and, 4) better understanding of history by using network science on intelligent data mining (collaboration with FIT Florida Institute of Technology, USA).

setup setup-globals setup-people assign-color assign-commitment assign-coupling-tendency assign-condom-use assgin-test-frequence random-near go check-sliders move couple uncouple infect Frameworks,

7 setup setup-globals setup-people assign-color assign-commitment assign-coupling-tendency assign-condom-use assgin-test-frequence random-near go check-sliders move couple uncouple infect Frameworks, Domain Specific Languages & Tools Study and development of new highly specialized applied components for hard problem domains; Semiotic approach is used for taking advantage of multiperspective, subjective representation and ad hoc usage; Examples of researches output: 1) Framework for Social Simulation Using Aspect Oriented Approach 2) Aspect-Oriented Modeling for Multi-agent Systems in Social Simulation 3) Wizard for Generating Social Simulations 4) Context sensitive ICU Interfaces based on principles of computational semiotics 5) Application of Semiotic and Cybernetic principles in Decision Support Systems test setup-plot update-plot %infected aspecto

8 Requirements and Software Engineering REQUIREMENTS ENGINEERING SOFTWARE REUSE MODEL DRIVEN DEVELOPMENT ASPECT ORIENTED DEVELOPMENT AGENT ORIENTED DEVELOPMENT

Pattern recognition & Machine Learning Machine Learning - Classification - Data Mining - Evolutionary Computation - Feature Selection/Construction - Kernel Methods - Learning Preferences or Rankings

analysis and processing -Text recognition and classification -Medical image analysis - Wind forecast - Inflow forecast - Speech Recognition and Understanding - Face recognition - Gesture recognition

9 Pattern recognition & Machine Learning Machine Learning - Classification - Data Mining - Evolutionary Computation - Feature Selection/Construction - Kernel Methods - Learning Preferences or Rankings - Neural Networks - Reinforcement Learning - Semi-Supervised/Unsupervised Learning - Time-series/Data Streams - Markov Decisions Processes - Hybrid Systems Pattern recognition topics: - Document analysis and processing -Text recognition and classification -Medical image analysis - Wind forecast - Inflow forecast - Speech Recognition and Understanding - Face recognition - Gesture recognition Robotics and Vision - Vision and Perception - Motion and Path Planning - Manipulation Knowledge-based Information Systems - Information Extraction - Knowledge Acquisition - Knowledge-based Systems - Recommender Systems Image and video processing

10 Current External Collaborations -University of Johannesburg (UJ) - SOUTH AFRICA Faculty of Engineering and the Built Environment -University of Pretoria (UP) - SOUTH AFRICA Computational Intelligence Research Group -National Institute of Technology (NIT) - INDIA Department of Mathmatics -Florida Institute of Technology (FIT) Computer Science Department -University of Münster (WWU) - GERMANY European Research Center for Information Systems (ERCIS) - Chair of Information Systems and Logistics -University of Duisburg-Essen - GERMANY Faculty of Engineering - Institute for Nano Strctures and Technology (NST) -Karlsruher Institute of Technology (KIT) - GERMANY Institute of Applied Informatics and Formal Description Methods (AIFB); Chair of Public Finance and Public Management; Rectory Department for Quality Management -City University London - ENGLAND School of Informatics - Department of Computing -Heriot-Watt University - SCOTLAND School of Mathematical and Computer Science -University of Vienna - AUSTRIA Faculty of Computer Science - Research Lab. Computational Tech.and Applications -INRIA - FRANCE Contraintes group (Paris-Rocquencourt) -Peking University - CHINA School of Electronic Eng. and Computer Science - Computational Intelligence Laboratory (CIL)

11 Post-Graduate Program in Computer Engineering (PPG-EC) Many thanks! Prof. Byron Leite Dantas Bezerra, Ph.D. Contact: Prof. Bruno José Torres Fernandes, Ph.D. Contact:

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL Title Publisher ISSN Country Language ACM Transactions on Autonomous and Adaptive Systems ASSOC COMPUTING MACHINERY 1556-4665 UNITED STATES English ACM Transactions on Intelligent Systems and Technology